组态视角下区域科技创新绩效提升路径研究——基于我国30个省市的fsQCA分析

Research on the Path to Enhancing Regional Scientific and Technological Innovation Performance from the Configuration Perspective: A Fuzzy Set Qualitative Comparative Analysis Based on 30 Provinces and Cities in China

摘要:

基于整体视角,以我国30个省市为研究对象,运用模糊集定性比较分析方法(fsQCA)探讨驱动区域科技创新的多元组态路径。研究结果表明:首先,单个要素并不构成区域科技高创新绩效的必要条件,高创新绩效是多要素共同作用的结果。其次,驱动区域科技高创新绩效的组态路径有7条,非高创新绩效的组态路径有2条,并且两者呈现出因果非对称的关系。最后,在特定的情况下,不同组态条件之间还存在一定的替代关系。综合多个层面要素识别出区域科技高创新绩效的7条驱动路径,为各省市结合自身实际情况制定差异化科技创新绩效提升策略提供理论参考。

Abstract:

Based on a comprehensive perspective, this study takes 30 provinces and cities in China as its research subjects, employing the fuzzy set qualitative comparative analysis (fsQCA) method to explore diverse paths driving regional scientific and technological innovation. The research findings indicate that, firstly, individual factors do not constitute necessary conditions for high innovation performance in regional science and technology, high innovation performance results from the combined effects of multiple factors. Secondly, there are seven configurational paths driving high innovation performance, while two paths lead to non-high innovation performance, exhibiting a causal asymmetry between the two. Lastly, under specific circumstances, there exists a certain degree of substitutability between different configurational conditions. By integrating multiple levels of factors, identifying seven driving paths for high innovation performance in regional science and technology, the study provides a theoretical reference for provinces and cities to formulate differentiated strategies for enhancing scientific and technological innovation performance based on their own circumstances.